Data Engineer - Elite Investment Platform (Python/SQL) - J12938

About the Client:

We are partnering with a premier, data-driven financial institution renowned for its sophisticated investment platform. This organization treats data as its most critical asset, investing heavily in modern data lakehouse architectures and cutting-edge engineering practices. You will join a high-caliber technical team operating in a fast-paced, highly rewarding environment where innovation, accuracy, and engineering excellence are at the core of the business strategy.

The Role & Landscape:

• Develop and deploy robust, end-to-end data pipelines encompassing data collection, ETL processes, advanced analysis, and visualization.

• Construct dynamic dashboards and execute complex data modelling to handle ad-hoc data requests from diverse business units.

• Support, maintain, and optimize applications across the data and investment platform tech stack using Python, Bash, PowerShell, SQL, and Excel VBA.

• Serve as the primary technical point of contact to support business users in their daily utilization of the data warehouse, data lake, and lakehouse environments.

• Spearhead data issue resolution while establishing and maintaining industry best practices for data management.

• Engage in dynamic, ad-hoc projects to continuously elevate the platform's capabilities.

What We Are Looking For:

• A Bachelor’s degree in Computer Science, Statistics, or a related discipline.

• At least 3 years of proven experience developing data integration, reporting, or analytics solutions.

• Exceptional programming capabilities in modern, structured languages such as Java, C++, Python, or JavaScript, paired with robust SQL database querying skills.

• Demonstrated experience working with data lakes, building ETL pipelines, and utilizing analytics platforms like Tableau, R, Python, or Excel.

• A solid foundational understanding of server architectures, computer infrastructure, and high-level system integration across frontend and backend.

• Strong bilingual communication abilities, with an excellent command of spoken and written English and Chinese.

• Bonus Traits: Experience with financial analysis, investment workflows, or web scraping. Exposure to Apache Airflow, UiPath, full-stack development, or modern AI and agentic workflows will highly differentiate your application.

• A detail-oriented, analytical mindset characterized by sharp problem-solving capabilities, critical thinking, business acumen, and a proactive, team-oriented approach.

Why Apply To This Role:

Step out of a siloed back-office function and into a role that directly influences live investment workflows. This is a rare opportunity to take full ownership of end-to-end pipelines within a modern, evolving stack that is actively incorporating AI and agentic workflows. You will gain immense domain exposure in the elite financial sector while working alongside top-tier engineering talent in a collaborative, high-performance environment.

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Danny Kwan at resume@pinpointasia.com and put Data Engineer - Elite Investment Platform (Python/SQL) - J12938 in the subject header.

Data provided is for recruitment purposes only.